Antonio Más

1.8k citations
86 papers · 1.3k · h-index 20

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 31
    • HIV/AIDS drug development and treatment 23
    • HIV/AIDS Research and Interventions 7

Antonio Más

77 papers receiving 1.2k citations

Peers

Antonio Más
Comparison fields: 5 of 99
  • Virology 520
  • Infectious Diseases 577
  • Hepatology 207
  • Endocrinology 42
  • Epidemiology 209
Replace Harold Burger with:
Harold Burger United States
Yue Feng China
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Mariona Parera Spain
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Antonio Más relative to Harold Burger United States Harold Burger's profile →
Citations per field
00.5×
Harold Burger · 1×
Citations per year

Countries citing papers authored by Antonio Más

Since Specialization
Citations

This map shows the geographic impact of Antonio Más's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Más with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Más more than expected).

Fields of papers citing papers by Antonio Más

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Más. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Más. The network helps show where Antonio Más may publish in the future.

Co-authors

The 25 scholars most cited alongside Antonio Más, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antonio Más Line = papers co-authored together Antonio Más links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200096
2 201074
3 199865
4 201662
5 201159
6 200552
7 201645
8 200242
9 200439
10 201539
11 200238
12 201038
13 200135
14 200035
15 200134
16 201230
17 199527
18 200027
19 201122
20 199821

About Antonio Más

Antonio Más is a scholar working on Virology, Infectious Diseases, Hepatology, Epidemiology and Molecular Biology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (31 papers), HIV/AIDS drug development and treatment (23 papers), Hepatitis C virus research (12 papers), Hepatitis B Virus Studies (7 papers), HIV/AIDS Research and Interventions (7 papers), Biochemical and Molecular Research (6 papers), Evolution and Genetic Dynamics (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Virology (520 citations), Infectious Diseases (577 citations), Hepatology (207 citations), Endocrinology (42 citations) and Epidemiology (209 citations). Antonio Más has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Esteban Domingo, Luis Menéndez‐Arias, Miguel E. Quiñones‐Mateu, Pilar Clemente-Casares, Juana Díez, Miguel Ángel Martı́nez, Eric J. Arts, Isabel Alves‐Rodrigues, Celia Perales and Vincent Soriano. Their work appears in journals such as Journal of Virology, Virus Research, AIDS Research and Human Retroviruses, Antiviral Research and Antimicrobial Agents and Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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